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Axiad Ids, Inc.
Santa Clara, CA, United States
Senior Machine Learning Engineer / Machine Learning Architect Axiad is looking for an experienced Senior ML Engineer to join our cloud product team. Do you have a passion for ML and AI and building the future of identity? Do you enjoy exploring building and deploying new and evolving models for novel applications ? Would you like to be
Job Source: Axiad Ids, Inc.SAP
Palo Alto, CA, United States
We help the world run better Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a hi
Job Source: SAPIntapp
Palo Alto, CA, United States
We need you to help our products get smarter! In this cross-functional role, you will be joining an emerging AI Engineering group at an established software company. You will have a big impact and contribute across the range of Intapp’s products. An interesting set of challenging problems exist in the Professional Services and Financial Services I
Job Source: IntappAppLovin
Palo Alto, CA, United States
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is
Job Source: AppLovinAnalog Devices
San Jose, CA, United States
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and rel
Job Source: Analog DevicesInstrumental Services
Palo Alto, CA, United States
Imagine writing software with no debugger, no logging, and only getting to compile it three times before you need to ship millions of copies. That's what building electronics products is like for hardware, quality, and process engineers. As a result of this data- and insight-poor environment, companies waste significant time, money, and material. I
Job Source: Instrumental ServicesHealth at Scale
Palo Alto, CA, United States
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and t
Job Source: Health at Scalemendel.ai
San Jose, CA, United States
About Mendel: Mendel AI is at the forefront of transforming healthcare through cutting-edge AI and technology. Our mission is to harness the power of clinical data and deliver actionable insights that drive better patient outcomes. At Mendel, we believe in the potential of AI to revolutionize the healthcare industry by providing solutions that are
Job Source: mendel.aiSan Jose, CA, United States
Hume AI is seeking a talented software engineer with experience in backend web services and ML infrastructure to advance our core mission: using the world's most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is dedicated to building artificial intelligence that is directly optimized for human well-being. We have just raised a Series B funding round and are launching a new flagship product, an empathic AI assistant that can be built into any application.
Where other AI companies see only words, our API can see (and hear) the other half of human communication: subtle tones of voice, word emphasis, facial expression, and more, along with the reactions of listeners. These behaviors reveal our preferences-whether we find things interesting or boring; satisfying or frustrating; funny, eloquent, or dubious. We call learning from these signals "reinforcement learning from human expression" (RLHE). AI models trained with RLHE can serve as better question answerers, copywriters, tutors, call center agents, and more, even in text-only interfaces.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in Axios and The Washington Post.
About the Role
We are looking for an experienced and motivated engineer with experience in backend web services and ML infrastructure to help Hume AI empower developers around the world. In this role you will help us integrate cutting edge AI models into services and toolkits for researchers and developers. You will work closely with research scientists and frontend engineers to build new capabilities into the Hume platform, and you will have the opportunity to take part in a wide range of engineering initiatives across the ML lifecycle, including model training, evaluation, and deployment at scale.
Requirements
Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy)
Understanding of core ML concepts including model architecture, training, and evaluation
Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS)
Deep understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc)
Experience using service deployment tooling (e.g. Kubernetes, Docker, Argo)
Excellent communication and collaboration skills
Bonus Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++)
Knowledge of one or several MLOps platforms for experiment tracking or model training (e.g. Sagemaker, Vertex, Weights and Biases)
Familiarity with distributed training and compute tools like Dask, Ray, and Spark
Experience working at the intersection of machine learning research and engineering
Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
Annual Salary
$130,000-$230,000 USD
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Email Alert for Senior Machine Learning Engineer jobs in San Jose, CA, United States
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